Description
Renewable Energy Forecasting
From Models to Applications
Woodhead Publishing Series in Energy Series
Coordinator: Kariniotakis Georges
Language: EnglishSubject for Renewable Energy Forecasting:
Keywords
Aerosol; All-sky camera; Ampacity; ANEMOS; ARIMA; ARMA model; Artificial neural networks; Assessment; Atmospheric chaos; Benchmarking; Box-Jenkins forecasting; Cloud motion vectors; Cloud; Conductor; Converters; Correlations; Data assimilation; Decision theory; Decision-making under uncertainty; Decision-making; Doppler shift; Dynamic line rating; Dynamic solver; Electric markets; Electricity market; Electricity markets; Exogenous data; Fluctuations; Forecast quality; Forecast value; Forecast; Forecasting; Geostationary meteorological satellite; Hadley circulation; Hybrid systems; Investment phase; Kalman Filter; Land surface models; Line of sight; Mean absolute error; Met mast; Meteorology; Numerical Weather Prediction; Numerical weather prediction; Operating reserve; Optimization methods; Perceptron; Photovoltaic; Physics models; Power spectrum; Power system; Predictability; Probabilistic forecasting; Regression; Risk; Sea breeze; Short-term forecasting; Simulation; Solar energy; Solar forecasting; Solar irradiance; Solar-storage coordination; Spatial and temporal variability; Spatial planning; Storage devices; Surface solar irradiance; Time series models; Transmission system operators; Turbulence; Uncertainty; Variability; Wave energy; Wave farms; Wind farm; Wind lidars; Wind power; Wind-storage coordination
386 p. · 15x22.8 cm · Hardback
Description
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Renewable Energy Forecasting: From Models to Applications provides an overview of the state-of-the-art of renewable energy forecasting technology and its applications. After an introduction to the principles of meteorology and renewable energy generation, groups of chapters address forecasting models, very short-term forecasting, forecasting of extremes, and longer term forecasting. The final part of the book focuses on important applications of forecasting for power system management and in energy markets.
Due to shrinking fossil fuel reserves and concerns about climate change, renewable energy holds an increasing share of the energy mix. Solar, wind, wave, and hydro energy are dependent on highly variable weather conditions, so their increased penetration will lead to strong fluctuations in the power injected into the electricity grid, which needs to be managed. Reliable, high quality forecasts of renewable power generation are therefore essential for the smooth integration of large amounts of solar, wind, wave, and hydropower into the grid as well as for the profitability and effectiveness of such renewable energy projects.
Part I: Introduction to meteorology and measurement technologies
1. Principles of meteorology and numerical weather forecasting
2. Measurement methodologies for wind energy based on ground-level remote sensing
Part II: Methods for Renewable Energy Forecasting
3. Wind energy forecasting models
4. Mathematical Methods for Optimized Solar Forecasting
5. Solar power forecasting based on sky cameras
6. Short term solar power forecasting based on satellite images
7. Wave energy forecasting models
8. Forecasting intrahourly variability of wind generation
9. Characterisation of forecast errors and benchmarking of renewable energy forecasts
Part III: Applications of forecasting to power system management and markets
10. Renewable forecasting and electricity markets
11. Forecasting for the estimation of reserves into power systems
12. Forecasting for storage management
13. Dynamic line rating forecasting
14. The role of predictability in the investment phase of wind farms
1) Research meteorologists and engineers responsible for building forecast models.
2) Power forecast practitioners (e.g. wind/solar plant operators, grid operators, energy traders).
3) Researchers in academia (from post-graduate level upwards) working in the areas of energy meteorology, energy policy, grid integration and renewable energy in general.
- Offers comprehensive coverage of wind, solar, wave, and hydropower forecasting in one convenient volume
- Addresses a topic that is growing in importance, given the increasing penetration of renewable energy in many countries
- Reviews state-of-the-science techniques for renewable energy forecasting
- Contains chapters on operational applications